Uses publicly available tools to visualize data. – Linked Data for Professional Education

0 to 60 on SPARQL Queries in 50 Minutes

Sun, 06 May 2018 02:22:48 +0000

This webinar provides an introduction to SPARQL, a query language for RDF. Users will gain hands on experience crafting queries, starting simply, but evolving in complexity. These queries will focus on coinage data in the SPARQL endpoint hosted by http://nomisma.org with numismatic concepts defined in a SKOS-based thesaurus and physical specimens from three major museum collections (American Numismatic Society, British Museum, and Münzkabinett of the Staatliche Museen zu Berlin) linked to these concepts. Results generated from these queries in the form of CSV may be imported directly into Google Fusion Tables for immediate visualization in the form of charts and maps. Links to all resources necessary to practice the queries covered are available online and referenced from the webinar presentation.

The webinar uses the following SPARQL constructs: SELECT, WHERE, LIMIT, ORDER BY (ASC), FILTER, DISTINCT, regex(), count(), lang(), langMatches().

Access to all SPARQL queries used in the webinar are available at http://numishare.blogspot.com/2015_05_01_archive.

URL: https://www.asist.org/events/webinars/dcmi-webinar-from-0-to-60-on-sparql-queries-in-50-minutes/
Keywords: visualization (map geolocations), Google Fusion Tables, visualization (statistics), geographic queries, UNION, OPTIONAL, sorting, filtering, SPARQL syntax
Author: Ethan Gruber
Publisher: DCMI
Date created: 2014-01-01 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H00M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

Linked Statistical Data Analysis

Sun, 13 Aug 2017 08:18:11 +0000

Linked Data design principles are increasingly employed to publish and consume high-fidelity, heterogeneous statistical datasets in a distributed fashion. While vast amounts of linked statistics are available, access and reuse of the data is subject to expertise in corresponding technologies. There exists no user-centered interfaces for researchers, journalists and interested people to compare statistical data retrieved from different sources on the Web. Given that the RDF Data Cube vocabulary is used to describe statistical data, its use makes it possible to discover and identify statistical data artifacts in a uniform way. In this article, the design and implementation of a user-centric application and service is presented. Behind the scene, the platform utilizes federated SPARQL queries to gather statistical data from distributed data stores. The R language for statistical computing is employed to perform statistical analyses and visualizations. The Shiny application and server bridges the front-end Web user interface with R on the server-side in order to compare statistical macrodata, and stores analyses results in RDF for future research. As a result, distributed linked statistics with accompanying provenance data can be more easily explored and analysed by interested parties.

URL: http://csarven.ca/linked-statistical-data-analysis
Keywords: Data analysis, R (programming language), Shiny server, Apache Jena, Federated queries
Author: Riedl, Reinhard
Publisher: CEUR (Central Europe Workshop Proceedings)
Date created: 2013-07-07 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

SPARQL Package for R: Movie Star Graph Visualization Tutorial

Sun, 06 Aug 2017 07:58:04 +0000

The SPARQL Package allows you to directly import results of SPARQL SELECT queries into the statistical environment of R as a data frame, allowing one to directly perform statistical analysis on datasets on the web. This tutorial shows how to do a visual analysis with the Gephi graph visualization tool, and basic social network analysis with R of the data in the DBpedia repository about Hollywood movies. It makes use of the SPARQL Package for R and the igraph library.

URL: http://linkedscience.org/tools/sparql-package-for-r/sparql-package-for-r-gephi-movie-star-graph-visualization-tutorial/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization, Gephi
Author: van Hage, Willem Robert
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P90M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

Using the SPARQL Package in R to Handle Spatial Linked Data: Part II

Sun, 06 Aug 2017 07:58:04 +0000

Continuing where Part I left off, this tutorial shows how to access Spatial and Temporal Data about the complex environmental system of the Brazilian Amazon Rainforest, including deforestation statistics, and a variety of socio-economic variables. It shows how store this data in a meaningful way and how to plot and handle it within R.

URL: http://linkedscience.org/tools/sparql-package-for-r/tutorial-part-ii-calculating-deforestation-per-state/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization
Author: Gräler, Benedikt
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

Using the SPARQL Package in R to Handle Spatial Linked Data: Part I

Sun, 06 Aug 2017 07:58:04 +0000

As a solution to bridge two communities, those of statistical computing and the Semantic Web, there is now the SPARQL Package for R, which enables one to retrieve data from Linked Data services for analysis. This tutorial shows
how to access Spatial and Temporal Data about the complex environmental system of the Brazilian Amazon Rainforest, including deforestation statistics, and a variety of socio-economic variables. It shows how store this data in a meaningful way and how to plot and handle it within R.

URL: http://linkedscience.org/tools/sparql-package-for-r/tutorial-on-sparql-package-for-r/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization
Author: Gräler, Benedikt
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

SPARQL Package for R: Linked Open Piracy Tutorial

Sun, 06 Aug 2017 07:58:04 +0000

This tutorial shows how to do a visual analysis and basic statistical analysis of the data in the Linked Open Piracy data set. It makes use of the SPARQL Package for R and the ggmap package. The SPARQL Package allows one to directly import results of SPARQL SELECT queries into the statistical environment of R as a data frame, allowing one to directly perform statistical analysis on datasets from the web.

URL: http://linkedscience.org/tools/sparql-package-for-r/linked-open-piracy-tutorial/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization
Author: van Hage, Willem Robert
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: instruction
Educational audience: student
Interactivity type: mixed

Putting SPARQL on the Map with Ordnance Survey Linked Data and OS OpenSpace

Mon, 16 Jan 2017 06:46:07 +0000

In this blog post, the author describes how to plot SPARQL query results from the Ordnance Survey dataset, available as Linked Open data (LOD) onto an OS OpenSpace map. This requires querying a SPARQL endpoint and choosing CSV as the output format, then pasting the URL of the generated HTTP GET request into the appropriate input field of the OS OpenSpace tool.

URL: https://johngoodwin225.wordpress.com/2013/08/20/ordnance-survey-linked-data-plotting-sparql-query-results-in-os-openspace/
Keywords: Government Open Data, Linked Open Data (LOD), SPARQL
Author: Goodwin, John
Date created: 2013-08-20 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

Visualising The Location Graph With Gephi and Ordnance Survey Linked Data

Sat, 14 Jan 2017 06:46:01 +0000

Building on a previous post, the author shares another example using a SPARQL endpoint to query Linked Open Data and turn the results into a graph (aka, "network") visualization using the Gephi tool (and its 'Semantic Web Import' plugin). Includes an example of federated search as well as a work-around to convert SPARQL results from Turtle to XML.

URL: https://johngoodwin225.wordpress.com/2014/03/28/visualising-the-location-graph-example-with-gephi-and-ordnance-survey-linked-data/
Keywords: Gephi, DBpedia, Geospatial data, SPARQL
Author: Goodwin, John
Date created: 2014-03-26 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

All Roads Lead To? Experiments With Gephi, Linked Data and Wikipedia

Sat, 14 Jan 2017 06:46:01 +0000

This blog post shares an example using the Semantic Web Import plugin (available for the Gephi visualization tool) to create a rather complex geospatial visualization. This tutorial also includes good information on how to explore a dataset using SPARQL queries and how to filter query results to "clean-up" DBpedia data so that it is more suitable for use.

URL: https://johngoodwin225.wordpress.com/2014/03/26/all-roads-lead-to-experiments-with-gephi-linked-data-and-wikipedia/
Keywords: Gephi, DBpedia, Geospatial data, SPARQL
Author: Goodwin, John
Date created: 2014-03-26 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

Visualising Related Entries in Wikipedia Using Gephi

Sat, 14 Jan 2017 06:46:01 +0000

In this blog post, the author shares how to use the Gephi visualization tool's Semantic Web Import plugin to retrieve data from DBpedia and turn it into a network visualization. Includes a brief discussion of how SPARQL queries are formed, but the post is more appropriate for users who already have some familiarity.

URL: https://blog.ouseful.info/2012/07/03/visualising-related-entries-in-wikipedia-using-gephi/
Keywords: Gephi, DBpedia
Author: Hirst, Tony
Date created: 2012-07-03 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Interactivity type: mixed